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[1] Jean Ponce,et al. Learning mid-level features for recognition , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[2] Kim Steenstrup Pedersen,et al. The Nonlinear Statistics of High-Contrast Patches in Natural Images , 2003, International Journal of Computer Vision.
[3] David J. Field,et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.
[4] Antonin Chambolle,et al. Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage , 1998, IEEE Trans. Image Process..
[5] David J. Field,et al. Sparse coding with an overcomplete basis set: A strategy employed by V1? , 1997, Vision Research.
[6] Guillermo Sapiro,et al. Learning Efficient Sparse and Low Rank Models , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Nitish Srivastava,et al. Improving neural networks by preventing co-adaptation of feature detectors , 2012, ArXiv.
[8] Eero P. Simoncelli,et al. Recovery of Sparse Translation-Invariant Signals With Continuous Basis Pursuit , 2011, IEEE Transactions on Signal Processing.
[9] Yoshua Bengio,et al. Deep Sparse Rectifier Neural Networks , 2011, AISTATS.
[10] Honglak Lee,et al. Sparse deep belief net model for visual area V2 , 2007, NIPS.
[11] Pascal Vincent,et al. The Manifold Tangent Classifier , 2011, NIPS.
[12] Guillermo Sapiro,et al. Learning Efficient Structured Sparse Models , 2012, ICML.
[13] Hariharan Narayanan,et al. Sample Complexity of Testing the Manifold Hypothesis , 2010, NIPS.
[14] Yoshua Bengio,et al. Recurrent Neural Networks for Missing or Asynchronous Data , 1995, NIPS.
[15] Marc'Aurelio Ranzato,et al. Efficient Learning of Sparse Representations with an Energy-Based Model , 2006, NIPS.
[16] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[17] D. Hubel,et al. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex , 1962, The Journal of physiology.
[18] Dong Yu,et al. Deep Convex Net: A Scalable Architecture for Speech Pattern Classification , 2011, INTERSPEECH.
[19] Yann LeCun,et al. What is the best multi-stage architecture for object recognition? , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[20] I. Daubechies,et al. An iterative thresholding algorithm for linear inverse problems with a sparsity constraint , 2003, math/0307152.
[21] Geoffrey E. Hinton,et al. Rectified Linear Units Improve Restricted Boltzmann Machines , 2010, ICML.
[22] Geoffrey E. Hinton. A Practical Guide to Training Restricted Boltzmann Machines , 2012, Neural Networks: Tricks of the Trade.
[23] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[24] Yann LeCun,et al. Learning Fast Approximations of Sparse Coding , 2010, ICML.
[25] Pascal Vincent,et al. Representation Learning: A Review and New Perspectives , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[26] Razvan Pascanu,et al. Advances in optimizing recurrent networks , 2012, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[27] Yoshua. Bengio,et al. Learning Deep Architectures for AI , 2007, Found. Trends Mach. Learn..
[28] H. Sebastian Seung,et al. Learning Continuous Attractors in Recurrent Networks , 1997, NIPS.
[29] Yann LeCun,et al. Transformation Invariance in Pattern Recognition - Tangent Distance and Tangent Propagation , 2012, Neural Networks: Tricks of the Trade.
[30] Jean Ponce,et al. Task-Driven Dictionary Learning , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[31] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .
[32] Andrew Y. Ng,et al. The Importance of Encoding Versus Training with Sparse Coding and Vector Quantization , 2011, ICML.
[33] Guillermo Sapiro,et al. Supervised Dictionary Learning , 2008, NIPS.
[34] Marc'Aurelio Ranzato,et al. Semi-supervised learning of compact document representations with deep networks , 2008, ICML '08.
[35] David M. Bradley,et al. Differentiable Sparse Coding , 2008, NIPS.
[36] Jürgen Schmidhuber,et al. Multi-column deep neural networks for image classification , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[37] Graham W. Taylor,et al. Adaptive deconvolutional networks for mid and high level feature learning , 2011, 2011 International Conference on Computer Vision.
[38] Bruno A Olshausen,et al. Sparse coding of sensory inputs , 2004, Current Opinion in Neurobiology.
[39] L. Abbott,et al. A model of multiplicative neural responses in parietal cortex. , 1996, Proceedings of the National Academy of Sciences of the United States of America.
[40] Yann LeCun,et al. Efficient Pattern Recognition Using a New Transformation Distance , 1992, NIPS.
[41] Dong Yu,et al. Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition , 2012, IEEE Transactions on Audio, Speech, and Language Processing.